Grid-Based Technologies for In Silico Screening and Drug Design

被引:29
|
作者
Potemkin, Vladimir [1 ]
Grishina, Maria [1 ]
机构
[1] South Ural State Univ, 20-A Tchaikovsky Str, Chelyabinsk 454080, Russia
关键词
Drug design; docking; 3D/4D QSAR; genetic algorithm; virtual screening; antipharmacophore; MM3; FORCE-FIELD; MOLECULAR-MECHANICS; ENERGY MINIMIZATION; GENETIC ALGORITHM;
D O I
10.2174/0929867325666180309112454
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Various techniques for rational drug design are presented in the paper. The methods are based on a substitution of antipharmacophore atoms of the molecules of training dataset by new atoms and/or group of atoms increasing the atomic bioactivity increments obtained from an SAR study. Furthermore, a design methodology based on the genetic algorithm DesPot for discrete optimization and generation of new drug candidate structures is described. Additionally, wide spectra of SAR approaches (3D/4D QSAR interior and exterior-based methods - BiS, CiS, ConGO, CoMIn, high-quality docking method - ReDock) using MERA force field and/or AlteQ quantum chemical method for correct prognosis of bioactivity and the bioactive probability have been described. The design methods are implemented at www.chemosophia.com web-site for online computational services.
引用
收藏
页码:3526 / 3537
页数:12
相关论文
共 50 条
  • [41] Receptor-based virtual screening protocol for drug discovery
    Cerqueira, Nuno M. F. S. A.
    Gesto, Diana
    Oliveira, Eduardo F.
    Santos-Martins, Diogo
    Bras, Natercia F.
    Sousa, Sergio F.
    Fernandes, Pedro A.
    Ramos, Maria J.
    ARCHIVES OF BIOCHEMISTRY AND BIOPHYSICS, 2015, 582 : 56 - 67
  • [42] Use of a Desktop Grid to Effectively Discover Hits in Virtual Drug Screening
    Ivashko, Evgeny
    Nikitina, Natalia
    SUPERCOMPUTING (RUSCDAYS 2019), 2019, 1129 : 735 - 743
  • [43] Advances and challenges in drug design against tuberculosis: application of in silico approaches
    Aleksandrov, Alexey
    Myllykallio, Hannu
    EXPERT OPINION ON DRUG DISCOVERY, 2019, 14 (01) : 35 - 46
  • [44] Research on grid-based genetic algorithm and its application in public transport operation plan scheduling
    Chen, Chen
    Hong, Liu
    Chen, Xue-Guang
    Hao, Yu-Jia
    Jisuanji Xuebao/Chinese Journal of Computers, 2009, 32 (12): : 2382 - 2388
  • [45] In Silico Drug Design of Benzothiadiazine Derivatives Interacting with Phospholipid Cell Membranes
    Hu, Zheyao
    Marti, Jordi
    MEMBRANES, 2022, 12 (03)
  • [46] Drug Design for XRCC4 in Silico
    Huang, Hung-Jin
    Tsai, Fuu-Jen
    Chung, Jing-Gung
    Tsai, Chang-Hai
    Hsu, Yuan-Man
    Ho, Tin-Yun
    Chang, Yea-Huey
    Bau, Da-Tian
    Tsai, Ming-Hsui
    Chen, Calvin Yu-Chian
    PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS, VOLS 1-4, 2009, : 192 - +
  • [47] In silico receptor-based drug design of X, Ybenzenesulfonamide derivatives as selective COX-2 inhibitors
    Perez, David J.
    Sarabia, Orlando
    Villanueva-Garcia, Manuel
    Pineda-Urbina, Kayim
    Ramos-Organillo, Angel
    Gonzalez-Gonzalez, Jorge
    Gomez-Sandoval, Zeferino
    Said Razo-Hernandez, Rodrigo
    COMPTES RENDUS CHIMIE, 2017, 20 (02) : 169 - 180
  • [48] Drug Design for CNS Diseases: Polypharmacological Profiling of Compounds Using Cheminformatic, 3D-QSAR and Virtual Screening Methodologies
    Nikolic, Katarina
    Mavridis, Lazaros
    Djikic, Teodora
    Vucicevic, Jelica
    Agbaba, Danica
    Yelekci, Kemal
    Mitchell, John B. O.
    FRONTIERS IN NEUROSCIENCE, 2016, 10
  • [49] Structure-based drug design, synthesis and screening of MmaA1 inhibitors as novel anti-TB agents
    Veeravarapu, Hymavathi
    Malkhed, Vasavi
    Mustyala, Kiran Kumar
    Vadija, Rajender
    Malikanti, Ramesh
    Vuruputuri, Uma
    Muthyala, Murali Krishna Kumar
    MOLECULAR DIVERSITY, 2021, 25 (01) : 351 - 366
  • [50] Computer-Based Technologies for Virtual Screening and Analysis of Chemical Compounds Promising for Anti-HIV-1 Drug Design
    Andrianov, A. M.
    Kashyn, I. A.
    Tuzikov, A. V.
    PATTERN RECOGNITION AND INFORMATION PROCESSING, 2017, 673 : 14 - 23